Posted:
10/29/2024, 6:37:49 PM
Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India
Experience Level(s):
Senior
Field(s):
IT & Security
Pay:
$188/hr or $391,040 total comp
P-1355
At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth.
Our Databricks IT Applications Team is looking for a Senior Salesforce CPQ Developer to to manage our Salesforce CPQ platform and be a strategic partner in using this system across the business. You will manage our Salesforce platform and be a strategic partner in using this main system across the business. You will oversee the process for design, test, build and implementation of Salesforce CPQ. Additionally you will help guide the business in process enhancement and work on future implementation needs. We want someone passionate about using Salesforce to achieve success and value across the business. We want someone who is excited about being a crucial part of a high-growth company with an incredible product. You will report to the Manager of Business Systems.
You will be the lead resource on a team where you will use your skills and expertise to enhance and evolve the value of our Salesforce instance across the business. You will partner with other teams to bring maturity to our use of the Salesforce platform. With the support of your team, you will be in the position to guide the business to be more efficient with Salesforce and products that connect to and rely on Salesforce.
The impact you will have:
Design/Strategy: Build platform functionality on the Salesforce platform including the way Salesforce works with and is used by other important business systems.
Collaboration: You will partner with the salesforce team and the business partners for helping design & implement salesforce solutions based on our business needs.
Analytics: You will play an analytical role in quickly and thoroughly analyzing requirements for reporting and subsequently translating the emanating results into good technical data designs, implementing the solutions with high quality and scalability in mind.
What we look for:
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Website: https://databricks.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 5001-10000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series I
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning